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采用星敏感器测卫星姿态是现行方法中精度最高的，其关键是星图识别。本文阐述了只采用观测星的位置信息，利用观测星图与导航星表的星对角距进行聚类匹配，根据观测星图的连通性进行匹配识别的方法，用图论理论解释了星识别过程；用１２０Ｍ主频的微机模拟分析了门限和位置噪声对识别时间的影响。在门限取０．０５°，位置噪声（单轴）δ＝０．０２°以下时，在任一区域识别率达１００％，识别时间平均少于０．２ ｓ。
Using satellite-based satellite attitude measurement method is the highest accuracy of the current method, the key is the star map recognition. This paper describes the method of matching recognition based on the connectivity of the observed star chart by using only the position information of the observing star, the cluster matching between the observing star map and the star diagonal of the navigation star list, and the star recognition by graph theory The influence of threshold and position noise on recognition time was analyzed by computer simulation with 120M frequency. When the threshold is 0.05 ° and the position noise (uniaxial) δ is 0.02 or less, the recognition rate reaches 100% in any region and the recognition time is less than 0.2 s.